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Mohammed Lamine Benomar

Observed names: BENOMAR MOHAMMED LAMINE, Med Lamine Benomar, Mohamed Lamine Benomar, Mohammed Lamine BENOMAR
ORCID: 0000-0001-8982-9760
Observed ORCID: 0000-0001-8982-9760
OpenAlex ID: A5044091224
Artificial intelligence algorithms aimed at characterizing or detecting prostate cancer on MRI: How accurate are they when tested on independent cohorts? – A systematic review
2022 · Olivier Rouvière, Tristan Jaouen, et al. · Diagnostic and Interventional Imaging · 47
Multi-feature-based approach for white blood cells segmentation and classification in peripheral blood and bone marrow images
2021 · Mohammed Lamine Benomar, Amine Chikh, et al. · International Journal of Biomedical Engineering and Technology · 18
Modified U‐Net for cytological medical image segmentation
2022 · Mourtada Benazzouz, Mohammed Lamine Benomar, et al. · International Journal of Imaging Systems and Technology · 12
Evidential Segmentation Scheme of Bone Marrow Images
2016 · Mourtada Benazzouz, Ismahan Baghli, et al. · Advances In Image and Video Processing · 5
Convolutional Neuronal Networks for Tumor Regions Detection in Histopathology Images
2021 · Mohammed Lamine Benomar, Nesma Settouti, et al. · Lecture notes in networks and systems · 4
Automated identification of plasma cell in bone marrow images
2017 · Mourtada Benazzouz, Ismahan Baghli, et al. · International Conference on Mathematics and Information Technology (ICMIT) · 4
Pre-trained Backbones Effect on Nuclei Segmentation Performance
2022 · Chifa Maarouf, Mohamed Lamine Benomar, et al. · Communications in computer and information science · 3
Identifying regions of interest in whole slide images of renal cell carcinoma
2021 · Mohammed Lamine Benomar, Nesma Settouti, et al. · Research on Biomedical Engineering · 2
Colour Texture Features Based Approach for White Blood Cells Segmentation
2019 · Mohammed Lamine Benomar, Mourtada Benazzouz, et al. · International Conference on Networking and Advanced Systems (ICNAS) · 2
A Comparative Study of ViT-B16, DeiT, and ResNet50 for Peripheral Blood Cell Image Classification
2024 · Younes Bekkal Brikci, Mourtada Benazzouz, et al. · International Conference of the African Federation of Operational Research Societies (AFROS) · 1
Segmentation of Leukemia Cells in Cytology Images Using Attention-Enhanced U-Net and Swin-Unet with MAE
2026 · Younes Bekkal Brikci, Mourtada Benazzouz, et al. · International Conference on Speech, Multimodal and Advanced Communication Systems (ICSMACS)
Comparative Analysis of Vector-Level Multimodal Fusion Strategies for Medical Diagnostic Classification
2026 · Djaafer Gherbi, Mohammed Lamine Benomar · International Conference on Speech, Multimodal and Advanced Communication Systems (ICSMACS)
MRAN: A Reconstructive Attention Network for Handling Modality Sparsity in Multimodal Cancer Survival Analysis
2026 · Djaafer GHERBI, Mohammed Lamine BENOMAR, et al. · Research Square
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Cascade Convolutional Neural Networks Learning for ECG Cardiopathy Classification
2025 · Mohammed Said Kaddour, Mohammed Lamine Benomar, et al. · International Conference on Intelligent Computer Systems, Data Science and Applications (IC2SDA)
Improving ViT Performance for Colon Cancer Histopathological Image Classification Using Transfer Learning
2025 · Moncef Belaskri, Mohammed Lamine Benomar, et al. · International Conference on Intelligent Computer Systems, Data Science and Applications (IC2SDA)
Combining Deep Learning Models for Cytological Image Classification
2024 · Mohammed Lamine Benomar, Traoré Alimata, et al. · International Conference of the African Federation of Operational Research Societies (AFROS)
Enhanced Classification of Childhood Medulloblastoma Tumors Using ViT and Stain Normalization
2024 · Moncef Belaskri, Mohammed Lamine Benomar, et al. · International Conference of the African Federation of Operational Research Societies (AFROS)
Multi Features Based Approach for White Blood Cells Segmentation and Classification in Peripheral Blood and Bone Marrow Images
2019 · BENAZZOUZ MOURTADA, DESCOMBES XAVIER, et al. · International Journal of Biomedical Engineering and Technology
Combinaison adaptative des informations texture et couleur pour la segmentation d’images médicales.
2018 · Mohammed Lamine Benomar · Dépôt Institutionnel de lUniversité de Tlemcen
Segmentation d’images microscopiques de cytologie.
2014 · Mohammed Lamine Benomar · Dépôt Institutionnel de lUniversité de Tlemcen
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Works count: 20
Citation count: 98
H-index: 4
I10-index: 3
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